The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Comparing Amazon’s Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research Literature
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Citations
Cites
Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012) · Political Analysis · doi:10.1093/pan/mpr057 · Cited by 4,008
Conducting behavioral research on Amazon’s Mechanical Turk
Mason, W., & Suri, S. (2012) · Behavior Research Methods · doi:10.3758/s13428-011-0124-6 · Cited by 3,172
Casler, K., Bickel, L., & Hackett, E. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.05.009 · Cited by 1,662
Conducting Clinical Research Using Crowdsourced Convenience Samples
Chandler, J., & Shapiro, D. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-093623 · Cited by 1,072
Crowdsourcing research: Data collection with Amazon’s Mechanical Turk
Sheehan, K. B. (2018) · Communication Monographs · doi:10.1080/03637751.2017.1342043 · Cited by 408
The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers
Stewart, N., Ungemach, C., Harris, A. J. L., Bartels, D. M., Newell, B. R., Paolacci, G., & Chandler, J. (2015) · Judgment and Decision Making · doi:10.1017/s1930297500005611 · Cited by 304 · cited 1×
“MTurk has 500,000 registered users(3) with 15,000 individual US workers at any given time.(6) MTurkers have been paid as little as $0.”
BackgroundKim, H. S., & Hodgins, D. C. (2017) · Psychology of Addictive Behaviors · doi:10.1037/adb0000219 · Cited by 206
Briones, E. M., & Benham, G. (2017) · Behavior Research Methods · doi:10.3758/s13428-016-0710-8 · Cited by 48
Cited by
Americans’ COVID-19 stress, coping, and adherence to CDC guidelines
Park, C. L., Russell, B. S., Fendrich, M., Finkelstein-Fox, L., Hutchison, M., & Becker, J. (2020) · Journal of General Internal Medicine · doi:10.1007/s11606-020-05898-9 · Cited by 728
Park, C. L., Finkelstein-Fox, L., Russell, B. S., Fendrich, M., Hutchison, M., & Becker, J. (2021) · American Psychologist · doi:10.1037/amp0000813 · Cited by 127
Sharing Biomedical Data: Strengthening AI Development in Healthcare
Pereira, T., Morgado, J., Silva, F., Pelter, M. M., Dias, V. R., Barros, R., Freitas, C., Negrão, E., Flor de Lima, B., Correia da Silva, M., et al. (2021) · Healthcare · doi:10.3390/healthcare9070827 · Cited by 54
“There are several annotation platforms, such as MTurk [32] and Figure Eight (formerly Crowdflower) [33], which are usually based on nonspecialized annotators that follow a very restrict and objective set of rules to define the classes for labeling [34].”
MethodJeste, D. V., Thomas, M. L., Liu, J., Daly, R. E., Tu, X. M., Treichler, E. B. H., Palmer, B. W., & Lee, E. E. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.09.033 · Cited by 50
Frymann, T., Whitney, S., Yaden, D. B., & Lipson, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.863247 · Cited by 30
Metadata
- Authors
- Mortensen, K., & Hughes, T. L.
- Venue
- Journal of General Internal Medicine
- Published
- 2018-01-04
- Volume
- 33
- Issue
- 4
- Pages
- 533-538
- ISSN
- 0884-8734 (ISSN-L)
- 1525-1497
- OpenAlex
- W2782369434
- Cited by
- 441
- References
- 8
- FWCI
- 51.73
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Mortensen, K., & Hughes, T. L. (2018). Comparing Amazon’s Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research Literature. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-017-4246-0
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
